Power BI overview

Speaker name Title Modern analytics

Speaker name Title Companies want to do more with

70%

of organizations believe their data is not used to its fullest extent But it’s hard to do

Amount of data Data sources Lack of is growing are growing specialized workers 163ZB 86% #1 worldwide data challenged to analyze and creation by 2025 unstructured data analytics are most –IDC: Data Age 2025 –IDG: Survey challenging to find –IDG: State of CIO How does Power BI help modernize analytics?

Unify self-service AI gets to Anyone can and enterprise BI insights faster access and analyze

Remove the challenges of multiple Reduce the amount of Make sense of data and drive solutions and conquer data both time spent wrangling data and confident decisions without structured and unstructured spend more time getting answers relying on specialized skills Unify self-service and enterprise BI

• Reduce cost, complexity, and challenges of multiple analytics systems • Grow and evolve with a scalable, secure, and compliant platform • Enterprise BI tools like SSRS and SSAS are inside Power BI • Protect your data inside and outside of Power BI Pair Power BI with Information Protection and Microsoft Cloud App Security to better protect Power BI data

Apply sensitivity labels Extend protection and Better meet privacy and Help prevent exposure of familiar in Office 365 governance policies to regulatory requirements sensitive data by apps like Word, Excel, Power BI data— with oversight of blocking risky user PowerPoint, and Outlook including exported sensitive data through activities, in real time, to Power BI data. data—with Microsoft Microsoft Cloud App with Microsoft Cloud Information Protection. Security. App Security. Classify and label Power BI artifacts

• Data owners set Microsoft information protection sensitivity labels for datasets, reports, dashboards and dataflows.

• Same labels used to classify Office 365 files. Protect data exported from Power BI

• Sensitivity labels of Power BI artifacts persist in files exported from Power BI to Excel, PowerPoint, PDF (at preview).

• Data protection policies defined by security and governance admins in portal are inherited when data is exported from Power BI service.

• Prevent unauthorized access to sensitive data. Protect data with real-time risk analysis

• Admins can closely monitor risky sessions connecting to Power BI service in Microsoft Cloud App Security.

• Security admins can define real time remediation of risky activities using Microsoft Cloud App Security real time controls. Enable admin oversight of sensitive data

• Power BI admins have full visibility to sensitive data in their Power BI tenant and who consumes it (launch Jan 2020).

• Security admins can use Microsoft Cloud App Security to gain better visibility for sensitive data usage in Power BI and investigate potential security risks. Get to insights faster with AI

• Make immediate sense of unstructured data like images and text • Ask questions using natural language or company jargon • Discover hidden insights and understand what influences your KPIs • Accelerate time to insight with sharable machine learning models Anyone can access and analyze

• Tell your data story with hundreds of data connectors and visual options • Expedite decisions backed by live dashboards and single source of truth • Run your business in real time and complete ad-hoc analysis from any device • Put insights where users spend time by embedding dashboards in applications Worldwide reach Power BI data sources Always growing Power BI success in driving data culture February 2019 A Leader in Analytics & BI Platforms*

*Gartner “Magic Quadrant for Analytics and Platforms,” by Cindi Howson, James Richardson, Rita Sallam, Austin Kronz, 11 February 2019 The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Microsoft Positioned as a Leader in The Forrester Wave™: Enterprise BI Platforms (Vendor-Managed), Q3 2019* “You no longer need to be shy about using Microsoft Power BI; it's a killer BI platform.” —According to the Forrester report

*The Forrester Wave™: Enterprise BI Platforms (Vendor-Managed), Q3 2019 by Boris Evelson with Srividya Sridharan, Robert Perdoni, Aldila Yunus. The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change Partner solutions

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Power BI modernizes analytics

Self-service Powered Provides insights and enterprise BI by AI to all It’s easy to get started… PowerBI.com Demo

Executive dashboard Power BI innovation areas

Self-service Unified self-service Pervasive AI Big data analytics BI/collaboration and enterprise BI for BI with Azure Data Services Power BI innovation areas

Self-service Unified self-service Pervasive AI Big data analytics BI/collaboration and enterprise BI for BI with Azure Data Services Transform data to insights Easily connect, clean, and mashup data

Get your data Power BI data sources Build powerful models and flexible measures

Analyze Create stunning interactive reports

Visualize Visualize in the context of your business Share insights with others

Publish Pixel perfect paginated reports Empower your organization

Collaborate Stay connected to your data on the go • Excel • Visio • SharePoint • Teams • PowerApps • Dynamics 365 • SaaS apps Power BI innovation areas

Self-service Unified self-service Pervasive AI Big data analytics BI/collaboration and enterprise BI for BI with Azure Data Services Unify self-service and enterprise BI Enterprise BI tools inside of Power BI

Enterprise BI tools inside of Power BI

SQL Server Analysis Services integrated into Power BI

SQL Server Reporting Services technology now part of Power BI Securely protect your data

Security Find out more about Security in the Protect data with Microsoft information protection Microsoft Trust Center classifications both inside and outside of Power BI

Keep data secure with identity and access using Azure Active Directory

Encrypt to safeguard data, both at rest and in transit

Secure access for Power BI data, based on user’s identity

BYOK Classify and label Power BI artifacts

 Data owners set Microsoft information protection (MIP) sensitivity labels for datasets, reports, dashboards and dataflows.

 Same labels used to classify Office 365 files. Protect data exported from Power BI

• Sensitivity labels of Power BI artifacts persist in files exported from Power BI to Excel, PowerPoint, PDF.

• Data protection policies defined by Security and Governance admins in Microsoft 365 portal are inherited when data is exported from Power BI service

• Prevent unauthorized access to sensitive data. Protect data export with real- time risk analysis

 Admins can use Microsoft Cloud App Security (MCAS) to closely monitor risky sessions connecting to Power BI service.

 Security admins can define real time remediation of risky activities using MCAS real time controls. Admin oversight of sensitive data

 Power BI admins have full visibility to sensitive data in their Power BI tenant and who consumes it

 Security admins can use MCAS to gain better visibility for sensitive data usage in Power BI and investigate potential security risks Compliant solution

Compliance Find out more about Compliance in the Flexibility to deploy Power BI in specific global regions Microsoft Trust Center with multi-geo compliance

As of May 2019 Protect your data privacy

Privacy Find out more about Protect your data from unauthorized persons Privacy in the or inappropriate access Microsoft Trust Center Power BI innovation areas

Self-service Unified self-service Pervasive AI Big data analytics BI/collaboration and enterprise BI for BI with Azure Data Services Pervasive AI in BI Help business users understand data

Q&A

Quick insights

Key drivers Q&A

Get answers by simply asking Quick insights Find where the distribution is different

In this example, first time visitors visits to islands is different than those who visit several times Quick insights Explain the increase or decrease

Here, we see that the decrease of visitors in summer 2017 was explained by Pleasure/Vacationers. The type of traveler more likely to cancel a trip when Volcanoes erupt! Key influencers

Find out what drives your KPIs—key influencers uncovers what matters Help analysts prepare data

Clustering

Forecasting

Cognitive services

Automated ML Forecast

Add a forecast line and see future max and min values Cognitive services

Add Sentiment Analysis and Key Phrase extraction to your data Cognitive services

Use the results of sentiment analysis and key phrase extraction on unstructured data to create powerful analytics Automated ML

Author machine learning models with just a few clicks Simplify collaboration for data scientists and business analysts

R Integration

Python Integration

Azure ML Integration Easy for data scientists and analysts to collaborate

Azure ML Integration

Any Azure Machine Learning model is automatically available to Power BI users simply by giving them the permission to use it Easy for data scientists and analysts to collaborate

Python visualization

Use your python scripts in Power BI

Python visualization behaves like any other visualization such than slicing on data triggers the script to rerun and the visual is refreshed Power BI innovation areas

Self-service Unified self-service Pervasive AI Big data analytics BI/collaboration and enterprise BI for BI with Azure Data Services Big data analytics with Azure Data Services Unify data across your Unified data and unlocked insights organization with Power BI and Azure Impact Create reusable ETL logic to ingest any Unified internal and third-party data stores with data source while automatically storing Azure Data Factory and Azure Data Lake Storage data in Azure Data Lake Storage Accessed insights on both desktop and mobile Run SSIS packages natively in Azure with Azure SQL and Power BI Data Factory, so you don’t have to recreate years of on-premises ETL logic Cost savings on licensing and maintenance paid for the new platform in the first year Collaborate without moving the data around with one lake for all data Empowering 40,000 employees to work smarter Deliver petabyte-scale Petabyte-scale analytics across analytics the organization with Power BI Power BI + Azure SQL Data and Azure Warehouse Impact More powerful but cost-efficient analytics Enable instant response times on massive datasets when querying at the aggregated on Azure SQL Data Warehouse to support a level with Power BI Aggregations growing BI user base across the enterprise Replaced thousands of fixed PDF reports with Queries at the granular level are sent to Azure SQL Data Warehouse a fully interactive BI experience using Power BI with DirectQuery Shifted focus from software maintenance to extracting insights Skip configuration by connecting to Power BI with the ‘Open in Power BI’ button within Azure SQL Data Warehouse A data estate for any future Get deep insights, advanced Equipping sellers with machine analytics, and AI learning insights with Power BI Power BI + Azure Machine Learning and Azure

Use automated machine learning within Power BI Impact to solve for common use cases with zero coding Improved product pricing by delivering insights from Azure Machine Learning to sellers in real time Enable business analysts to consume the work of through Power BI data scientists for more advanced problems with seamless connection to Azure Machine Learning Reduced costs by moving to the cloud with an advanced analytics solution using Power BI, Azure SQL Leverage data in Azure Data Lake Storage to train Data Warehouse and Azure Machine Learning models in Azure Machine Learning giving your business a competitive edge Implemented 90% of the solution with no IT help Automate time-consuming tasks such as model Improved sales negotiations to tuning and deployment, reducing time-to-insight from weeks to hours increase profits What is Power BI Power BI: analytics for every organization Power BI family Power BI family Power BI

self-service & enterprise BI powered by AI provides insights to all Appendix Power BI Premium Power BI family

Flexibility to license by capacity Greater scale and performance Greater scale and performance Unifying self-service and enterprise BI Extending on-premises capabilities Power BI Report Server Power BI: analytics for every organization

Power BI Report Server Keep Power BI reports on-premises Compatible with SSRS How to acquire Power BI Report Server